Results 11 to 20 of about 2,396,133 (189)

Predictors of intentional intoxication using decision tree modeling analysis: a retrospective study [PDF]

open access: yesClinical and Experimental Emergency Medicine, 2018
Objective The suicide rate in South Korea is very high and is expected to increase in coming years. Intoxication is the most common suicide attempt method as well as one of the common reason for presenting to an emergency medical center. We used decision
Eun Seok Oh   +3 more
doaj   +1 more source

Diagnostic prediction model for levodopa-induced dyskinesia in Parkinson’s disease [PDF]

open access: yesArquivos de Neuro-Psiquiatria, 2020
Background: There are currently no methods to predict the development of levodopa-induced dyskinesia (LID), a frequent complication of Parkinson's disease (PD) treatment. Clinical predictors and single nucleotide polymorphisms (SNP) have been associated
Bruno Lopes SANTOS-LOBATO   +8 more
doaj   +1 more source

Decision Support System with Multi Criteria Decision Making Technique

open access: yesJournal of Physics: Conference Series, 2021
Abstract An assistant is a person who is assigned to help with the distribution of paperwork in the office. It requires males and females on staff. The assistant is in charge of assisting the smooth functioning of these activities of the office. It is not easy to find a good assistant.
Arman Jayady   +10 more
openaire   +1 more source

Effect of patient decision aids on choice between sugammadex and neostigmine in surgeries under general anesthesia: a multicenter randomized controlled trial [PDF]

open access: yesKorean Journal of Anesthesiology, 2023
Background Shared decision making using patient decision aids (PtDAs) was established over a decade ago, but few studies have evaluated its efficacy in Asian countries.
Li-Kai Wang   +10 more
doaj   +1 more source

Co-design of Human-centered, Explainable AI for Clinical Decision Support

open access: yesACM Trans. Interact. Intell. Syst., 2023
eXplainable AI (XAI) involves two intertwined but separate challenges: the development of techniques to extract explanations from black-box AI models and the way such explanations are presented to users, i.e., the explanation user interface.
Cecilia Panigutti   +6 more
semanticscholar   +1 more source

The clinical decision analysis using decision tree [PDF]

open access: yesEpidemiology and Health, 2014
The clinical decision analysis (CDA) has used to overcome complexity and uncertainty in medical problems. The CDA is a tool allowing decision-makers to apply evidence-based medicine to make objective clinical decisions when faced with complex situations.
Jong-Myon Bae
doaj   +1 more source

Show me the roads and give me a road map: Development of a patient conversation tool to improve lung cancer treatment decision-making

open access: yesPEC Innovation, 2022
Objective: Evidence-based decision support resources do not exist for persons with lung cancer. We sought to develop and refine a treatment decision support, or conversation tool, to improve shared decision-making (SDM).
Sara E. Golden   +7 more
doaj   +1 more source

Ensemble Deep-Learning-Enabled Clinical Decision Support System for Breast Cancer Diagnosis and Classification on Ultrasound Images

open access: yesBiology, 2022
Simple Summary In the literature, there exist plenty of research works focused on the detection and classification of breast cancer. However, only a few works have focused on the classification of breast cancer using ultrasound scan images. Although deep
Mahmoud Ragab   +3 more
semanticscholar   +1 more source

Towards effective clinical decision support systems: A systematic review

open access: yesPLoS ONE, 2022
Background Clinical Decision Support Systems (CDSS) are used to assist the decision-making process in the healthcare field. Developing an effective CDSS is an arduous task that can take advantage from prior assessment of the most promising theories ...
Francini Hak   +2 more
semanticscholar   +1 more source

A Decision Support System for Irrigation Management: Analysis and Implementation of Different Learning Techniques

open access: yesWater, 2020
Automatic irrigation scheduling systems are highly demanded in the agricultural sector due to their ability to both save water and manage deficit irrigation strategies.
R. Torres-Sánchez   +5 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy